{"id":"https://openalex.org/W4313146517","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892929","title":"Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs","display_name":"Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4313146517","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892929"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892929","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029984357","display_name":"Yutao Huang","orcid":"https://orcid.org/0000-0003-3707-8971"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Huang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423438","display_name":"Ye Wang","orcid":"https://orcid.org/0000-0002-0464-9136"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069241620","display_name":"Qing Liao","orcid":"https://orcid.org/0000-0003-1012-5301"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102735914","display_name":"Yan Jia","orcid":"https://orcid.org/0000-0002-3199-9844"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Jia","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003730869","display_name":"Yongquan Fu","orcid":"https://orcid.org/0000-0002-7564-5239"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Fu","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China","National University of Defense Technology, Changsha, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2760631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8342384099960327},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6689773797988892},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5846232175827026},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5496880412101746},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4660675823688507},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4400067627429962},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4306217432022095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3657723665237427},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26848679780960083},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19951674342155457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342384099960327},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6689773797988892},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5846232175827026},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5496880412101746},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4660675823688507},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4400067627429962},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4306217432022095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3657723665237427},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26848679780960083},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19951674342155457},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892929","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7291170091","display_name":"\u81ea\u9a71\u52a8\u4e91\u670d\u52a1\u7f51\u72b6\u7f51\u67b6\u6784\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61972409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W165525898","https://openalex.org/W1780541288","https://openalex.org/W1880262756","https://openalex.org/W1998224037","https://openalex.org/W2049137142","https://openalex.org/W2079735306","https://openalex.org/W2096733369","https://openalex.org/W2156483112","https://openalex.org/W2340381866","https://openalex.org/W2404243041","https://openalex.org/W2532357529","https://openalex.org/W2766437698","https://openalex.org/W2788615138","https://openalex.org/W2896457183","https://openalex.org/W2911286998","https://openalex.org/W2963840760","https://openalex.org/W2963919031","https://openalex.org/W2964189064","https://openalex.org/W2966779056","https://openalex.org/W3013642887","https://openalex.org/W3023480082","https://openalex.org/W3027864066","https://openalex.org/W3098230111","https://openalex.org/W3106098584","https://openalex.org/W3121835124","https://openalex.org/W3152497081","https://openalex.org/W4385245566","https://openalex.org/W6639619044","https://openalex.org/W6649764268","https://openalex.org/W6703744597","https://openalex.org/W6728286586","https://openalex.org/W6730146409","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6763883868"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4312622923","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W1990545028","https://openalex.org/W2107786128","https://openalex.org/W2735469505","https://openalex.org/W2048368023","https://openalex.org/W2120116197","https://openalex.org/W159653547"],"abstract_inverted_index":{"Events":[0],"spreading":[1],"on":[2,169],"social":[3,18,25,33,49,82,98,108,162,172],"media":[4],"platforms":[5],"reflect":[6],"current":[7,148],"public":[8,13],"concerns":[9],"and":[10,20,45,104,138,175],"emotions":[11],"among":[12,48],"opinions.":[14],"Heterogeneous":[15,75],"elements":[16,103],"of":[17,24,130],"networks":[19],"the":[21,31,42,56,91,101,107,127,135,139,143,147,176],"sparse":[22],"context":[23],"messages":[26,116,133,156],"bring":[27],"significant":[28],"challenges":[29],"to":[30,80,96,119,146,157],"fine-grained":[32],"event":[34,109,173],"detection":[35,57,87],"task.":[36],"Few":[37],"existing":[38],"methods":[39],"can":[40,52],"learn":[41,81],"inherent":[43],"structure":[44],"rich":[46],"semantics":[47,121,141],"messages,":[50],"nor":[51],"they":[53],"effectively":[54],"update":[55],"model":[58,183],"in":[59,84,106],"a":[60,72,85,114],"dynamic":[61],"scenario":[62],"for":[63,155],"continuously":[64],"coming":[65],"messages.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"design":[71],"novel":[73],"Multi-Semantics":[74],"Graph":[76],"Neural":[77],"Network":[78],"(MSGNN)":[79],"events":[83],"continuous":[86],"framework.":[88],"We":[89,112,165],"apply":[90],"heterogeneous":[92,102,123],"information":[93],"network":[94],"(HIN)":[95],"modeling":[97],"events,":[99],"considering":[100],"meta-paths":[105],"data":[110],"stream.":[111],"propose":[113],"dual-level":[115],"aggregation":[117],"mechanism":[118],"aggregate":[120],"between":[122],"elements,":[124],"which":[125],"aggregates":[126],"local":[128],"features":[129],"adjacent":[131],"neighboring":[132],"from":[134,142],"node":[136],"level":[137,145],"global":[140],"meta-path":[144],"message.":[149],"A":[150],"semantic":[151],"weight":[152],"is":[153],"designed":[154],"filter":[158],"out":[159],"noise":[160],"under":[161],"message":[163],"streams.":[164],"conduct":[166],"extensive":[167],"experiments":[168],"two":[170],"real-world":[171],"datasets,":[174],"experimental":[177],"results":[178],"demonstrate":[179],"that":[180],"our":[181],"proposed":[182],"outperforms":[184],"state-of-the-art":[185],"models.":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}